Jeffrey Negrea

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #32,671 of 35,345 by trust here, #34,213 by citations
• Statistics and Probability — 8 citations into it
• Computational Mechanics — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Jeffrey Negrea trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David A. McAllester
2. John Shawe-Taylor
3. Olivier Catoni
4. Amiran Ambroladze
5. Max Welling
6. Emilio Parrado-Hernández
7. Gintare Karolina Dziugaite
8. Daniel Russo
9. Aolin Xu
10. Alain Oliviero Durmus

Who trusts Jeffrey Negrea overall

1. Pierre Alquier
2. Alessandro Achille
3. Giovanni Paolini

Papers from Jeffrey Negrea's perspective

Ordered by how strongly the researchers Jeffrey Negrea trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates (2019) — 172 citations